Giving yourself time to be idle and let a problem marinate is often where the breakthroughs and good ideas come from. If taste and human judgment are what separate useful AI output from slop, we need to give our brains time to cook instead of constantly bouncing between agents.
Oh man, I help host a monthly AI meetup called AI Friday: https://aifri.day
My heart sank when I saw this post. I thought we’d created enemies!
No conflict here, though.
Personal example... A few weeks ago, I realized that with all these agents running and all the things I could be working on, I was spending my days managing shallow pings instead of going deep.
I have AI agents managing SEO and ad spend. I used to spend a little time every day reading what each had to say. Now each gives me one detailed report per week, with links to the underlying reports and specific things I need to look at. I block 90 minutes for each one, on different days, and use that time to go deep. It’s helped a lot.
Woah! This is very timely. My 9-year-old has been playing around with Claude Code and creating games, mostly with Phaser. He's dabbling with some 3D games and I was just looking at Godot as an option yesterday.
I've already started loading all of my incoming tax forms into a folder so that I can attempt the same, so it's helpful to see someone do it and the tips.
I understand the risks with it but I don't care. I cannot fucking wait for the SaaSpocalypse to hit these companies.
I've spent so much of my career as a data gopher, so I really appreciate this. It always works much, much better when people have direct access to data... but success always relied on getting business users to be a bit more technical.
I built a version of this in my org as a slack bot. It has access to BigQuery and I worked with it to document and define the key tables, so when a user asks a question it has a "library" to figure out how to answer it. Then it will respond directly in Slack (plus respond to f/up questions in the thread) and if it's a bigger/more detailed question it can create the report in Metabase and send a link.
One thing I don't have is the governance aspect, so I may give this a spin to see if this is a good middle layer.
Looking forward to getting your feedback if you get a chance to play around! It takes less than a few minutes to get set up and starting experimenting with it. Deploying coded dashboards is super good fun as well - deploying correct data in seconds is pretty mindblowing how difficult it was to get things up and running in the past
I can't wait to play with this, thank you for releasing!
I've done lots and lots of financial modeling/budgeting/forecasting in my career. The biggest drag is having to pull in actuals for the prior month, mapping them into the model, etc.
Just about a month ago I used Claude to build a set of scripts that pulls financial data from QuickBooks, operational data from BigQuery and pushes that all into our model in Google Sheets. The biggest pain was definitely connecting to QB because I had to create a developer account to get a key, etc.
I'm a 15+ year user of 1password and have been telling myself to move off of it for like 5 years now. It ain't the price... $72 is really fine for good software that just works.
But as mentioned throughout the thread it's really just too much. My goodness they really could have a nice, profitable, business with simple software. I'd happily pay $10/month for the version of 1password from 15 years ago! It's just all too much.
The VC treadmill ruined what should be a simple, sustainable business. They’re not going to light the world on fire trying to pedal a password manager as the be all and end all IAM story for enterprises. It’s not the amount of the increase. It’s that they’re chasing enterprise for VC unicorn status and clearly intending to leave their original market behind. I don’t want my passwords in a product becoming more and more derelict since the org’s heart is in another place.
Giving yourself time to be idle and let a problem marinate is often where the breakthroughs and good ideas come from. If taste and human judgment are what separate useful AI output from slop, we need to give our brains time to cook instead of constantly bouncing between agents.